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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Miller | Hurl | DuckDB |
|---|---|---|---|
| Platforms | Universal, MCP, Claude Code, Codex, Cursor | Universal | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | BSD-2-Clause | Apache-2.0 | MIT |
| Stars | 10049 | 19271 | 42448 |
| Last activity | October 21, 2026 | October 17, 2026 | September 28, 2026 |
| Install complexity | EASY | Easy; API and CLI knowledge required | سهل — حزمة Python أو ملف CLI تنفيذي واحد |
| Category | Workflow, Data | Testing, DevOps | Database |
| Best use | Ideal for developers, data analysts, and operators who need to clean a CSV export, inspect JSON Lines, or summarize a large file from the terminal without starting a Python project. Use it for quick, repeatable file processing; concurrent transactions and advanced visual analysis still call for a database or complementary analytics tool. | Best for a developer or small team that wants repeatable API checks with explicit conditions stored beside the code. It links request data and identifies failing assertions without repeating manual inspection. It does not replace browser tests or test-environment setup; curl may be enough for a one-off request. | Best for an analyst, developer, or small team that needs to inspect and join large data files and rerun analysis locally. It adds reviewable SQL without database-server setup. It is not a multi-user transactional database for many small concurrent writes from separate processes. |